Juliana Stratton US Inactive
JULIANA FOR ILLINOIS
Juliana for Illinois
Ad copy
We're in the final stretch of the U.S. Senate primary in Illinois, and my friend and governing partner, Juliana Stratton, needs our help. Juliana's running a grassroots movement, and with so little time left, she needs all-hands-on-deck to help win this. If you're ready to send Juliana to the U.S. Senate, please rush $10 or whatever you can afford to Juliana’s campaign today.
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 31.2/100 |
| Spend / Reach / Long. / Eff. | 17.4 · 47.5 · 3.6 · 56.4 |
| Spend range | USD 200–299 |
| Impressions | 5,000 – 5,999 |
| CPM (≈ $/1k impr) | USD 45.37 |
| Est. audience size | — |
| Days live | 14 (2026-02-28 → 2026-03-14) |
| Created | 2026-02-26 |
| Creative variants | 1 body · 1 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Juliana Stratton |
| Surfaced by | “senate:Juliana Stratton” |
🧠 AI analysis
| Issue | other |
| Framing | positive candidate |
| Message type | fundraising |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | donate |
| Standout element | Juliana Stratton posed alongside Illinois Governor JB Pritzker in an official setting, lending incumbency credibility to her Senate bid |
| Tactic | The ad leverages an implied gubernatorial endorsement through the image of Stratton with Gov. Pritzker while using urgent scarcity language ('so little time left,' 'rush $10') to drive small-dollar ActBlue donations in the final stretch of the primary. |
Where it ran (delivery by region)
| Illinois | 60.6% |
| California | 6.5% |
| New York | 3.0% |
| Florida | 2.6% |
| Texas | 2.0% |
| Washington | 1.9% |
| Missouri | 1.4% |
Who saw it (delivery)
| 18-24 · female | 0.7% |
| 45-54 · male | 4.7% |
| 65+ · male | 20.0% |
| 65+ · female | 32.3% |
| 55-64 · unknown | 0.2% |
| 55-64 · male | 9.5% |
| 55-64 · female | 11.4% |
| 45-54 · unknown | 0.2% |
| 45-54 · female | 5.4% |
| 18-24 · male | 1.6% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 3.8% |
| 35-44 · female | 4.0% |
| 25-34 · unknown | 0.3% |
| 25-34 · male | 2.9% |
| 25-34 · female | 2.1% |
| 18-24 · unknown | 0.1% |
| 65+ · unknown | 0.7% |
